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Article
Collaborative Digital Research: Case Study of Text Mining a Corpus of Academic Journals
New Review of Academic Librarianship (2020)
  • Tara Baillargeon, Marquette University
  • Eric A. Kowalik, Marquette University
  • Jennifer M. Cook
Abstract
More faculty are making the foray into digital scholarship as its tools offer novel and efficient approaches to answering research questions. However, faculty seeking to incorporate digital methods into their research may not have the necessary technical skills. Increasingly, libraries are adding digital scholarship support to the research support offered to faculty. In this article, we document the collaboration between a team of librarians and researchers to leverage each group’s unique skills to analyse and better understand the breadth and specific usage of social class and socioeconomic status terminology used in American Counselling Association (ACA) journal articles over a 17-year span. The work process and outcomes of this project are explained to offer an example of how such collaborative digital scholarship projects can be implemented.
Keywords
  • Collaboration,
  • library staff development,
  • university libraries,
  • python,
  • text data mining
Publication Date
Fall September 21, 2020
DOI
https://doi.org/10.1080/13614533.2020.1819352
Citation Information
Tara Baillargeon, Eric A. Kowalik and Jennifer M. Cook. "Collaborative Digital Research: Case Study of Text Mining a Corpus of Academic Journals" New Review of Academic Librarianship (2020)
Available at: http://works.bepress.com/eric_kowalik/23/